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| Kemeny-Median-Indikator-Ränge-Übereinstimmung× | Technique for Order of Preference by Similarity to Ideal Solution× | |
|---|---|---|
| Fachgebiet | Entscheidungsfindung | Entscheidungsfindung |
| Familie | MCDM | MCDM |
| Entstehungsjahr≠ | 2014 | 1981 |
| Urheber≠ | Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S. | Hwang, C. L., Yoon, K. |
| Typ≠ | Group-of-criteria Kemeny-median weight elicitation + additive aggregation across two attribute groups | Distance-based (compromise) |
| Wegweisende Quelle≠ | Krylovas, A., Zavadskas, E. K., Kosareva, N., Dadelo, S. (2014). New KEMIRA method for determining priorities of the attributes in solving MCDM problem. International Journal of Information Technology & Decision Making link ↗ | Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗ |
| Aliasnamen | — | — |
| Verwandt≠ | 4 | 8 |
| Zusammenfassung≠ | KEMIRA (KEmeny Median Indicator Ranks Accordance) is a ranking multi-criteria decision-making (MCDM) method introduced by Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S. in 2014. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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